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Geospatial Health

eISSN 1970-7096 - pISSN 1827-1987

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  • Spatial heterogeneity in relationship between district patterns of HIV incidence and covariates in Zimbabwe: a multi-scale geographically weighted regression analysis

    Rutendo Birri Makota, Eustasius Musenge
    27-11-2023
    https://doi.org/10.4081/gh.2023.1207
    1550
    PDF: 774
    HTML: 73
  • Unravelling the dual burden in regional context: how child malnutrition and socioeconomic gradients shape early childhood development

    Muhammad Usman
    05-02-2026
    https://doi.org/10.4081/gh.2026.1455
    436
    PDF: 298
    HTML: 8
  • Impact of the COVID-19 pandemic on the number of births in Pernambuco Brazil

    Heitor Victor Veiga da Costa, Cristine Vieira do Bonfim, Wilson Fusco, Morvan de Melo Moreira, Fernando Maciano de Paula Neto
    15-06-2022
    https://doi.org/10.4081/gh.2022.1069
    1226
    PDF: 568
    HTML: 53
  • Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas

    Jose Antonio Quesada, Inmaculada Melchor, Andreu Nolasco
    26-05-2017
    https://doi.org/10.4081/gh.2017.506
    1812
    PDF: 984
    HTML: 1057
  • Spatial association between COVID-19 incidence rate and nighttime light index

    Amornrat Luenam, Nattapong Puttanapong
    18-03-2022
    https://doi.org/10.4081/gh.2022.1066
    2243
    PDF: 685
    HTML: 89
  • Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

    Brian Hendricks, Miguella Mark-Carew, Jamison Conley
    13-11-2017
    https://doi.org/10.4081/gh.2017.582
    2666
    PDF: 863
    HTML: 753
  • Diabetes prevalence in the state of Alabama: identifying the risk factors

    Kwaku Karikari Manu, Seth Appiah-Opoku
    31-03-2026
    https://doi.org/10.4081/gh.2026.1465
    165
    PDF: 91
    HTML: 0
  • GIS modeling for canine dirofilariosis risk assessment in central Italy

    Michele Mortarino, Vincenzo Musella, Valeria Costa, Claudio Genchi, Giuseppe Cringoli, Laura Rinaldi
    253-261
    01-05-2008
    https://doi.org/10.4081/gh.2008.248
    2222
    PDF: 955
  • A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

    Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa
    28-03-2024
    https://doi.org/10.4081/gh.2024.1264
    2945
    PDF: 854
    HTML: 85
  • Access to dialysis services: A systematic mapping review based on geographical information systems

    Benyamin Hoseini, Nasser Bagheri, Behzad Kiani, Amirabbas Azizi, Hamed Tabesh, Mahmood Tara
    07-05-2018
    https://doi.org/10.4081/gh.2018.577
    3929
    PDF: 1581
    HTML: 210
  • Dynamic risk model for Rift Valley fever outbreaks in Kenya based on climate and disease outbreak data

    David Gikungu, Jacob Wakhungu, Donald Siamba, Edward Neyole, Richard Muita, Bernard Bett
    31-05-2016
    https://doi.org/10.4081/gh.2016.377
    3192
    PDF: 1454
    HTML: 1464
  • Advanced analysis of depression tendency in China: an investigation of environmental and social factors based on geographical and temporal weighted regression

    Yanhong Xu, Zhilin Hong, Huimei Lin, Xiaofeng Huang
    21-07-2025
    https://doi.org/10.4081/gh.2025.1385
    871
    PDF: 299
    HTML: 33
  • Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events

    Susan Maroney, MaryJane McCool-Eye, Andrew Fox, Christopher Burdett
    10-12-2020
    https://doi.org/10.4081/gh.2020.919
    2668
    PDF: 905
    HTML: 148
  • Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia

    Loshini Thiruchelvam, Sarat C. Dass, Rafdzah Zaki, Abqariyah Yahya, Vijanth S. Asirvadam
    07-05-2018
    https://doi.org/10.4081/gh.2018.613
    2289
    PDF: 1302
    HTML: 332
  • Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015

    Amornrat Luenam, Nattapong Puttanapong
    26-11-2020
    https://doi.org/10.4081/gh.2020.856
    3460
    PDF: 1229
    HTML: 69
  • Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model

    Adrian M. Tompkins, Nicky McCreesh
    31-03-2016
    https://doi.org/10.4081/gh.2016.408
    3560
    PDF: 1450
    HTML: 999
  • A spatiotemporal analysis of COVID-19 transmission in Jakarta, Indonesia for pandemic decision support

    Agung Syetiawan, Mira Harimurti, Yosef Prihanto
    14-01-2022
    https://doi.org/10.4081/gh.2022.1042
    4131
    PDF: 671
    HTML: 112
  • Dynamic effect of economic growth on the persistence of suicide rates

    Tzu-Yi Yang, Yu-Tai Yang, Ssu-Han Chen, Yu-Ting Lan, Chia-Jui Peng
    25-05-2023
    https://doi.org/10.4081/gh.2023.1201
    925
    PDF: 666
    HTML: 57
  • Report-back for geo-referenced environmental data: A case study on personal monitoring of temperature in outdoor workers

    Laura Thompson, Maggie Sugg, Jennifer Runkle
    07-05-2018
    https://doi.org/10.4081/gh.2018.629
    2554
    PDF: 1143
    APPENDIX: 377
    HTML: 82
  • Understanding needs and barriers to using geospatial tools for public health policymaking in China

    Dohyeong Kim, Yingyuan Zhang, Chang Kil Lee
    07-05-2018
    https://doi.org/10.4081/gh.2018.594
    1943
    PDF: 950
    HTML: 330
  • Disparities in COVID-19 health outcomes among different sub-immigrant groups in the US - a study based on the spatial Durbin model

    Jihoon Jung, Yoonjung Ahn, Joseph Bommarito
    18-03-2022
    https://doi.org/10.4081/gh.2022.1064
    1691
    PDF: 453
    Appendix: 319
    HTML: 11
  • Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil

    Marcos César Ferreira
    26-11-2020
    https://doi.org/10.4081/gh.2020.921
    7443
    PDF: 1464
    Appendix: 173
    HTML: 30
  • Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020

    Enríque Ibarra-Zapata, Darío Gaytán-Hernández, Yolanda Terán-Figueroa, Verónica Gallegos-García, Carmen del Pilar Suárez-Rodríguez, Sergio Zarazúa Guzmán, Omar Parra Rodríguez
    27-01-2025
    https://doi.org/10.4081/gh.2025.1348
    4454
    PDF: 1563
    HTML: 270
  • Spatial access disparities to primary health care in rural and remote Australia

    Matthew Richard McGrail, John Stirling Humphreys
    04-11-2015
    https://doi.org/10.4081/gh.2015.358
    23205
    PDF: 9572
    HTML: 2328
  • New insights into the application of geographical information systems and remote sensing in veterinary parasitology

    Laura Rinaldi, Vincenzo Musella, Annibale Biggeri, Giuseppe Cringoli
    33-47
    01-11-2006
    https://doi.org/10.4081/gh.2006.279
    3722
    PDF: 1661
  • Influence of landscape factors and management decisions on spatial and temporal patterns of the transmission of chronic wasting disease in white-tailed deer

    Marilyn O'Hara Ruiz, Amy C. Kelly, William M. Brown, Jan E. Novakofski, Nohra E. Mateus-Pinilla
    215-227
    01-11-2013
    https://doi.org/10.4081/gh.2013.68
    2930
    PDF: 1262
  • Modelling the ecological niche of hookworm in Brazil based on climate

    Ntombi B. Mudenda, John B. Malone, Michael T. Kearney, Paula D. Mischler, Prixia del Mar Nieto, Jennifer C. McCarroll, Penelope Vounatsou
    S111-S123
    01-09-2012
    https://doi.org/10.4081/gh.2012.129
    2257
    PDF: 1072
  • Satellite imaging and vector-borne diseases: the approach of the French National Space Agency (CNES)

    Fabienne Marechal, Nathalie Ribeiro, Murielle Lafaye, Antonio Güell
    1-5
    01-11-2008
    https://doi.org/10.4081/gh.2008.226
    2473
    PDF: 1223
  • A spatiotemporal analysis of the social determinants of health for COVID-19

    Claire Bonzani, Peter Scull, Daisaku Yamamoto
    25-05-2023
    https://doi.org/10.4081/gh.2023.1153
    2029
    PDF: 930
    HTML: 30
  • Fine-scale mapping of vector habitats using very high resolution satellite imagery: a liver fluke case-study

    Els De Roeck, Frieke Van Coillie, Robert De Wulf, Karen Soenen, Johannes Charlier, Jozef Vercruysse, Wouter Hantson, Els Ducheyne, Guy Hendrickx
    S671-S683
    01-12-2014
    https://doi.org/10.4081/gh.2014.296
    3779
    PDF: 2610
  • Dying in their prime: determinants and space-time risk of adult mortality in rural South Africa

    Benn Sartorius, Kathleen Kahn, Mark A. Collinson, Kurt Sartorius, Stephen M. Tollman
    237-249
    01-05-2013
    https://doi.org/10.4081/gh.2013.83
    2184
    PDF: 1130
  • Systematic errors in temperature estimates from MODIS data covering the western Palearctic and their impact on a parasite development model

    Jorge Alonso-Carné, Alberto García-Martín, Agustin Estrada-Peña
    1-12
    01-11-2013
    https://doi.org/10.4081/gh.2013.49
    1461
    PDF: 823
  • Using geographical information systems for defining the accessibility to health care facilities in Jeddah City, Saudi Arabia

    Abdulkader A. Murad
    S661-S669
    01-12-2014
    https://doi.org/10.4081/gh.2014.295
    3474
    PDF: 2235
  • Study of the variation of schistosomiasis risk in Lake Poyang in the People's Republic of China using multiple space-borne sensors for monitoring and modelling

    Kuo-Hsin Tseng, Song Liang, Motomu Ibaraki, Hyongki Lee, C. K. Shum
    353-364
    01-05-2014
    https://doi.org/10.4081/gh.2014.25
    1753
    PDF: 1098
  • Soil-transmitted helminthiasis in Latin America and the Caribbean: modelling the determinants, prevalence, population at risk and costs of control at sub-national level

    Josh Colston, Martha Saboyá
    321-340
    01-05-2013
    https://doi.org/10.4081/gh.2013.90
    2785
    PDF: 1461
  • Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

    Sue C. Grady, April N. Frake, Qiong Zhang, Matlhogonolo Bene, Demetrice R. Jordan, Joshua Vertalka, Thania C. Dossantos, Ameen Kadhim, Judith Namanya, Lisa-Marie Pierre, Yi Fan, Peiling Zhou, Fatoumata B. Barry, Libbey Kutch
    26-05-2017
    https://doi.org/10.4081/gh.2017.501
    9441
    PDF: 4403
    HTML: 2226
  • Measuring neighborhood deprivation for childhood health and development - scale implications in rural and urban context

    Alexandra Ursache, Seann Regan, Allison De Marco, Dustin T. Duncan, The Family Life Project Key Investigators
    11-03-2021
    https://doi.org/10.4081/gh.2021.926
    2777
    PDF: 1043
    HTML: 59
  • Spatial variations of COVID-19 risk by age in Toronto, Canada

    Nushrat Nazia
    20-07-2022
    https://doi.org/10.4081/gh.2022.1100
    1130
    PDF: 493
    Appendix: 183
    HTML: 132
  • Spatio-temporal statistics: applications in epidemiology, veterinary medicine and ecology

    Annibale Biggeri, Dolores Catelan, David Conesa, Penelope Vounatsou
    18-04-2016
    https://doi.org/10.4081/gh.2016.469
    2453
    PDF: 1488
    HTML: 924
  • How much incident lung cancer was missed globally in 2012? An ecological country-level study

    Benn Sartorius, Kurt Sartorius
    31-05-2016
    https://doi.org/10.4081/gh.2016.396
    2585
    PDF: 1366
    HTML: 1030
  • Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

    Zhi-Min Hong, Hu-Hu Wang, Yan-Juan Wang, Wen-Rui Wang
    29-12-2020
    https://doi.org/10.4081/gh.2020.849
    1953
    PDF: 892
    HTML: 29
  • Design and implementation of a spatial database for analysis of wheelchair accessibility

    Peter Nezval, Takeshi Shirabe
    24-03-2025
    https://doi.org/10.4081/gh.2025.1324
    1967
    PDF: 529
    HTML: 103
  • Is missing geographic positioning system data in accelerometry studies a problem, and is imputation the solution?

    Kristin Meseck, Marta M. Jankowska, Jasper Schipperijn, Loki Natarajan, Suneeta Godbole, Jordan Carlson, Michelle Takemoto, Katie Crist, Jacqueline Kerr
    31-05-2016
    https://doi.org/10.4081/gh.2016.403
    2409
    PDF: 1525
    HTML: 916
  • Planning and location of health care services in Jeddah City, Saudi Arabia: Discussion of the constructive use of geographical information systems

    Abdulkader Murad
    09-11-2018
    https://doi.org/10.4081/gh.2018.728
    2016
    PDF: 1166
    HTML: 289
  • COVID-19, air quality and space monitoring

    Yves M. Tourre, Mireille Paulin, Gilles Dhonneur, David Attias, Atul Pathak
    06-04-2022
    https://doi.org/10.4081/gh.2022.1052
    1901
    PDF: 590
    HTML: 22
  • Spatio-temporal analysis of foot traffic dynamics in Charleston County, South Carolina: before, during, and after COVID-19

    Wish Shao, Abolfazl Mollalo, Navid Hashemi Tonekaboni
    23-06-2025
    https://doi.org/10.4081/gh.2025.1363
    714
    PDF: 381
    HTML: 29
  • Comparison of GPS imputation methods in environmental health research

    Sungsoon Hwang, Kashica Webber-Ritchey, Elizabeth Moxley
    29-08-2022
    https://doi.org/10.4081/gh.2022.1081
    2299
    PDF: 1062
    HTML: 33
  • Public domain small-area cancer incidence data for New York State, 2005-2009

    Francis P. Boscoe, Thomas O. Talbot, Martin Kulldorff
    18-04-2016
    https://doi.org/10.4081/gh.2016.304
    2162
    PDF: 1227
    HTML: 865
  • Satellite imagery technology in public health: analysis of site catchment areas for assessment of poliovirus circulation in Nigeria and Niger

    Marina Takane, Shizu Yabe, Yumiko Tateshita, Yusuke Kobayashi, Akihiko Hino, Kazuo Isono, Hiromasa Okayasu, Ousmane M. Diop, Takeo Tadono
    21-11-2016
    https://doi.org/10.4081/gh.2016.462
    2714
    PDF: 1544
    HTML: 1160
201 - 249 of 249 items << < 1 2 3 

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vhealths

vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 21 No. 1 (2026)
Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy
Dimitrios Ntokos
14 April 2026
Vol. 21 No. 1 (2026)
Snakebite epidemiology in the State of Mexico, Mexico 2003-2024
Aldo Gómez-Benitez et al.
9 April 2026
Vol. 21 No. 1 (2026)
Diabetes prevalence in the state of Alabama: identifying the risk factors
Kwaku Karikari Manu et al.
31 March 2026

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Geospatial Health

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